AI-Driven Product & Engineering Program Lead

The Washington Post; Washington (District of Columbia); Presencial; USD 159.000 - 265.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Dental coverage

Vision coverage

Pension / 401(k) match

Vacation time

Sick leave

Holidays

Parental leave

Mental health resources

Pet insurance

Free Post digital subscription

Descripción de la vacante

The Washington Post in Washington, DC seeks a Program Management Fellow to define, implement, and improve the Product and Engineering operating system, guiding work from roadmap to learning.

You will translate priorities into executable plans, advance an AI-enabled development lifecycle, and establish rigorous delivery metrics and accountability across Product, Engineering, Design, Data, and business teams.

Formación

• Significant experience in program management within complex product/technology organizations.
• Experience leading large cross-functional programs with Product, Engineering, Design, Data, and business stakeholders.
• Experience designing or improving operating processes at organizational scale.
• Strong understanding of modern software development lifecycles and delivery metrics.

Responsabilidades

• Define and improve Product and Engineering operating processes from planning through learning.
• Translate roadmap priorities into executable plans with clear ownership and sequencing.
• Lead cross-functional initiatives with visibility into commitments, risks, and dependencies.
• Drive AI-enabled development lifecycle adoption with Product and Engineering.

Conocimientos

Program management

Cross-functional leadership

AI-enabled workflows

Delivery metrics

Stakeholder management

Strategic planning

Effective communication

Descripción del empleo

The Washington Post in Washington, DC seeks a Program Management Fellow to define, implement, and improve the Product and Engineering operating system, guiding work from roadmap to learning.

You will translate priorities into executable plans, advance an AI-enabled development lifecycle, and establish rigorous delivery metrics and accountability across Product, Engineering, Design, Data, and business teams.